Data Science

Beginner to Mastery

Data Science With Business Intelligence Course

Integrates theory with practical applications for effective learning.

Offers flexible learning formats to accommodate different schedules.

Provides access to industry tools and resources.

Focuses on both technical skills and business acumen.

Group Enrollment with Friends or Colleagues

Data Science With Business Intelligence Course

Course Duration

375 Hours

Next Batch

16 Sept 2025

Course Material

Live. Online. Interactive.

Facilitates networking opportunities with professionals and peers.

Includes real-time feedback and support from experienced instructors.

Prepares for a range of roles in data science with business intelligence.

Provides hands-on experience through industry projects and case studies for practical learning.

Highlight Data Science With Business Intelligence Course

KEY HIGHLIGHTS OF DATA SCIENCE WITH BUSINESS INTELLIGENCE COURSE PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 375 hours of hands-on learning experience
  • Over 120 hours live sessions spread across 05 months
  • 160 hours of self-paced Learning
  • Learn from Industry Experts.
  • More than 35+ industry-related projects and case studies
  • One-on-One with Industry Mentors
  • 24*7 Support
  • Dedicated Learning Management Team
  • 1:1 Mock Interview
  • No-Cost EMI Option
  • Designed for both working professionals and fresh graduates
  • High Demand and Career Opportunities
  • Competitive Edge and Innovation
  • Problem-Solving and Critical Thinking

WHY JOIN DATA SCIENCE WITH BUSINESS INTELLIGENCE COURSE PROGRAM?

Expert Instruction

Learn from experienced instructors who bring real-world insights and practical knowledge to the program.

Flexible Learning Options

Benefit from flexible learning formats that cater to different schedules and learning preferences, including online and in-person options.

Certification

Earn a certification upon completion that validates your skills and knowledge, enhancing your professional credentials.

Increased Earning Potential

Improve your earning potential with specialized skills in data science and business intelligence, fields known for lucrative opportunities.

UPCOMING BATCH:

16 Sept 2025

SkillzRevo

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

BatchBatch Type
Online Live Instructor Led SessionFull-Time
Online Live Instructor Led SessionPart-Time

Regional Timings

BatchBatch Type
IST (India Standard Time)09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia06:30 PM–09:30 PM
UAE / Oman07:30 PM–09:00 PM

Data Science With Business Intelligence Course OVERVIEW

This Program provides a practical curriculum tailored to impart necessary skills in data analysis and visualization among-st the professionals. The program covers the fundamentals of data science and provides hands-on experience with Python for data manipulation and analysis. The ways to interpret and decide the data is very vast hence learn advanced statistical techniques for this. The learners will get hands-on experience in machine learning and deep learning for predictive modeling. It teaches how to manage data through database management, creating visualizations it covers from Power BI and Tableau to working advanced visualization Tables on these Tools. In the end, our comprehensive approach helps students tie it all together so they can apply data-informed insights meaningfully, and make strategic business decisions.

ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE

Enroll Now →

Data Science With Business Intelligence Course Objectives

This Program is to impart participants with insights into data analysis, interpretation and visualization for effective decision-making. As part of this course, you will learn some basics as well as sophisticated tools like Python programming, Data Analysis with Statistics and Machine Learning & Deep Learning for both beginners to advanced level. The diversification in the subjects ranges from SQL & Data Visualization softwares such as Tableau, and Power BI etc,. Graduates of the program will learn how to leverage data-driven insights, advanced analytical methods and compelling visualizations that drive strategic business decisions.

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Why Learn Data Science With Business Intelligence Course ?

High Demand for Skills

Data science and business intelligence are among the most sought-after skills in today’s job market, offering vast career opportunities across various industries.

Data-Driven Decision Making

Learn to harness the power of data to drive strategic decisions, improving business outcomes and competitiveness.

Comprehensive Skill Set

Gain proficiency in a range of essential tools and techniques, including Python, SQL, machine learning, deep learning, Tableau, and Power BI, making you a versatile professional.

Advanced Analytical Capabilities

Develop advanced analytical skills to interpret complex data sets, identify patterns, and make predictions, enabling more effective problem-solving.

Bridging Business and Technology

Gain the ability to translate complex data insights into actionable business strategies, bridging the gap between technical teams and decision-makers.

Future-Proof Career Path

As organizations increasingly adopt AI and data-driven solutions, these skills ensure long-term relevance and stability in a rapidly evolving job market.

Enhanced Career Prospects

This course equips you with the expertise to pursue roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and more, with potential for career advancement.

Practical, Hands-On Learning

Engage in hands-on projects and real-world case studies, ensuring that you can apply what you learn directly to your professional environment.

Program Advantages

Covers the entire data science and business intelligence pipeline, from data collection and analysis to visualization and strategic decision-making.

Gain in-depth knowledge of Python, the leading programming language for data science, allowing you to perform data manipulation, analysis, and automation efficiently.

Build a solid understanding of statistics, enabling you to make data-driven decisions and apply advanced statistical methods in real-world scenarios.

Learn cutting-edge techniques in machine learning and deep learning to build predictive models and AI-driven solutions.

Develop robust SQL skills, essential for querying and managing large datasets, ensuring you can handle data efficiently in any database environment.

Master Tableau and Power BI to create dynamic and interactive data visualizations, making complex data insights accessible and actionable.

Description

Data Science With Business Intelligence Course program Certifications

Nasscom

Nasscom

Course Completion

Course Completion

Project Completion

Project Completion

Data Science With Business Intelligence Course Curriculum

Lecture 01: Introduction to Python, Why Python, Variables, Data Types, Type Casting, Strings, Indexing
Lecture 02: Operators and Conditional Statements, Looping Statements and its Control Statement
Lecture 03: Lambda Functions, *args, **kwargs, Functions
Lecture 04: Data Structures - List, Tuple, and List Comprehensions
Lecture 05: Data Structures - Set and Dictionaries
Lecture 06: Classes, Objects and Constructors, Inheritance
Lecture 07: Polymorphism, Abstraction and Encapsulation
Lecture 08: Connecting to Databases, Establishing Connections to Databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 09: Introduction to Numpy and Pandas
Lecture 10: Introduction to Seaborn and Matplotlib
Lecture 11: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation,
Lecture 12: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability
Lecture 13: Probability, Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 14: Normal Distribution, Type I & Type II Error
Lecture 15: T-test, Z-test, Hypothesis Testing
Interview Questions
Lecture 16: Introduction to ML, Types of variables, Encoding, Normalization, Standardization, Types of ML, Linear Regression
Lecture 17: Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Decision Tree, Random Forest
Lecture 18: Mean Absolute Error, Mean and Root Mean Square Error, Confusion Matrix, R2 Score, Adjusted R2 Score,F1 Score
Lecture 19: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost
Lecture 20: Unsupervised Machine Learning, PCA, Clustering, k-Means Clustering and Hierarchical clustering
Lecture 21: Introduction to Neural Network, Foreward Propagation, Activation Function
Lecture 22: Activation Function(Linear, Sigmoid, Relu, Leaky Relu), Optimizers, Gradient Descent, Stochastics Gradient Descent
Lecture 23: Mini batch Gradient Descent, Adagrad, Padding, Pooling, Convolution, Checkpoints and Neural Networks Implementation
Lecture 24: Introduction to Time Series Analysis, Various components of the TSA, Decomposition Method (Additive Method and Multiplicative)
Lecture 25: ARMA and ARIMA
Lecture 26: Project Session
Lecture 27: Basics of Database, Types of Database, Data Types, SQL Operators, Expressions, Create, Insert
Lecture 28: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like, Clause
Lecture 29: Constraint, Aggregation Function, Group By, Order By, Having
Lecture 30: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost
Lecture 31: Joins, Case, Complex Queries, Doubt Clearing
Lecture 32: Tableau Desktop, Tableau Products
Lecture 33: Data Import, Measures, Filters
Lecture 34: Data Transformation, Marks, Dual Axis
Lecture 35: Manage Worksheets, Data Visualization, Dashboarding
Lecture 36: Project Session
Lecture 37: Power BI Platform, Process Flow
Lecture 38: Features, Dataset, Bins
Lecture 39: Pivoting, Query Group, DAX Function
Lecture 40: Formula, Charts, Reports, Dashboards
Lecture 41: Bookmarks and Buttons, Conditional Formatting and Sorting, and Report Layout and Interaction
Lecture 42: Tabular Visuals, Modelling and Calculations, Advanced Data Modelling Scenarios and DAX in Power BI

Data Science With Business Intelligence Course Skills Covered

Data Analysis
Data Manipulation
Statistical Analysis
Data Visualization
SQL Expertise
Dashboard creation
Feature Engineering
Data Storytelling
Data Analysis
Data Visualization
Deep Learning Techniques
Machine Learning Techniques

Data Science With Business Intelligence Course Tools Covered

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Data Science With Business Intelligence Course Program Benefits

Data Science With Business Intelligence Course Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

Machine Learning Engineer Salary Range

Min

$95,000

Average

$120,000

Max

$150,000

Projects

MASTER GANS, TRANSFORMERS & DEEP LEARNING WITH REAL PROJECTS

Practice Essential Tools

Designed By Industry Experts

Get Real-world Experience

Python
NO. OF PROJECTS: 10
SQL
NO. OF PROJECTS: 10
Tableau
NO. OF PROJECTS: 8

Capstone Projects of this Program

Multimodal Text-to-Image Generator

A system that creates high-quality, realistic images from descriptive text inputs, blending multiple data types for creative visual output.

AI Music Composer with Genre Adaptation

An AI tool that generates original musical compositions while adapting to specific genre styles, tempo, and mood preferences.

Realistic Deepfake Video Synthesizer

A tool that realistically manipulates and synthesizes video content to create authentic-looking deepfake footage for various applications.

Personality-Driven Conversational AI Assistant

A chatbot designed to interact with a distinct and consistent personality, providing a more natural and engaging user experience.

Artistic Style Transfer Engine for Videos

A program that applies the artistic style of a source image to every frame of a video, creating a new, stylized visual experience.

Context-Aware Text Summarization System

An advanced system that generates concise summaries of long texts by understanding the document's broader context and key information.

Voice Cloning and Speech Style Transfer Tool

A tool that replicates a speaker's voice and transfers a specific speech style or emotion to new synthesized audio content.

Interactive AI Storyteller with Image Generation

An AI that collaboratively creates stories with users, dynamically generating scenes and characters based on a developing narrative.

2D Sketch to 3D Object Generation Pipeline

A seamless workflow that converts simple two-dimensional sketches into detailed, three-dimensional models for creative and design purposes.

Synthetic Data Generator for Model Training

A system that produces large and diverse datasets for machine learning models, overcoming data scarcity for effective training.

AI-Powered Video Subtitle Generator and Translator

An automated solution that transcribes spoken language in videos and translates it into accurate subtitles for global accessibility.

Generative Design Tool for Product Prototyping

An AI application that rapidly generates numerous product design prototypes based on a set of constraints and functional requirements.

RAG-based Research Assistant (Retrieval-Augmented Generation)

An intelligent assistant that answers complex queries by retrieving relevant information from large documents and generating coherent responses.

Multilingual Chatbot with Memory and Personality

A conversational agent that can communicate in multiple languages while maintaining a consistent personality and recalling past interactions.

AI-Powered Comic Strip Generator from Text Prompts

A tool that creates unique comic strips by converting user text prompts into sequential images with a consistent artistic style.

Explainable AI Engine for Text Classification

An AI system that classifies text and provides clear, understandable reasons for its decisions, ensuring transparency and trust.

Autonomous Slide Generator from Research Papers

An AI that automatically extracts key findings and data from research papers to create well-structured, presentable slide decks.

AI Assistant for Code Generation and Explanation

A helpful tool that writes code snippets and explains complex programming logic in simple terms, assisting developers with their tasks.

AI-Driven Marketing Content Generator Across Formats (text, image, video)

A unified platform that produces marketing materials in various formats, including text, images, and videos, from a single campaign brief.

Real-Time Emotion Detection and Response AI System

A system that identifies human emotions from facial expressions or speech and generates appropriate, empathetic responses in real time.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Gather and preprocess data from various sources to ensure accuracy and completeness for analysis.

Analyze large datasets using statistical methods and analytical tools to extract meaningful insights and trends.

Design, build, and validate machine learning and statistical models to address business problems and forecast outcomes.

Create and maintain visualizations and dashboards using tools like Tableau and Power BI to present data insights clearly and effectively.

Generate and deliver reports summarizing findings, recommendations, and actionable insights to stakeholders and decision-makers.

Work closely with cross-functional teams, including business units, IT departments, and management, to understand their data needs and provide solutions.

Utilize and manage tools and technologies related to data science, such as Python, SQL, and data visualization software.

Apply analytical skills to solve complex business problems, offering data-driven recommendations and solutions.

Companies Hiring for this Course

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Enroll Now & Save Up To

60%

In USD

$1,449

In INR

1,19,999

Inclusive of All Taxes

Enroll Now →
Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

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UPCOMING BATCHES/PROGRAM COHORTS

BatchDateTime (IST)Batch Type
Online Live Instructor Led Session30 August 20259 PM to 12 AMBatch 1
Online Live Instructor Led Session14th Sept 20259 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Curriculum ScopeComprehensive: Python, ML, DL, NLP, CV, Generative AIBasic ML and DL focusGeneral AI with less focus on Generative AI
Hands-On ExperienceExtensive practical projects with tools like GPT, DALL-E 2Limited practical projectsHands-on projects mainly in traditional AI
Advanced ToolsGPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChainFocus on traditional ML frameworksEmphasis on standard ML and AI tools
Instructor ExpertiseExperienced professionals with industry and research backgroundMix of industry and academic instructorsPrimarily academic-focused instructors
Real-World ApplicationsEmphasis on real-world problem-solving and innovationMostly theoretical applicationsGeneral applications with less focus on innovation
Career SupportStrong focus on career advancement and networkingBasic career servicesLimited career support and networking opportunities
Networking OpportunitiesConnect with peers and industry leadersLimited networking eventsFew networking opportunities
Certification ValueRecognized certification for advanced AI rolesStandard certificationGeneral certification with less industry recognition

Frequently Asked Questions